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# Senior Engineer, Backend

- **Company:** Hatch Ltd.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Relational Databases, Cursor (Graphical User Interface Elements), Software Debugging, Python (Programming Language), PostgreSQL, Query Optimization, Queueing Systems, RabbitMQ, Rule Engine, Systems Integration, TypeScript, ReactJS, Large Language Models, Prompt Engineering, Backend, Data Layers, Event Driven Architecture, Containerization, Information Technology, Apache Kafka, Machine Learning Operations, Front End Software Development, Api Design, Amazon Simple Queue Service (SQS), Grpc, Data Pipelines, Docker
- **Published:** June 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e5c4c995337f4db1

## About the Role

Do you have experience in TypeScript?, * Strong production experience in TypeScript and Go (Python a plus): real services running in production, not scripts and notebooks

 * Designing and building APIs (REST, gRPC, or similar) and backend service architecture
 * Relational databases, PostgreSQL: schema design, query performance, migrations
 * Reading and extending code you didn't write, quickly and confidently
 * Fluent with AI-assisted development tools (Claude Code, Cursor, or similar); you use them daily and they make you meaningfully faster
 * Production experience with AWS
 * Containerized deployments (Docker, ECS, EKS, or similar)
 * A bias for shipping working software over polishing design docs
 * Self-directed and comfortable with minimal structure in a fast-moving start-up environment
 * U.S. Citizenship required
 * Bachelor's in Computer Science, Engineering, or a related field, or equivalent professional experience., * LLM APIs and AI/ML pipelines: prompt engineering, model integration, token economics
 * Policy engines or rules-based systems (OPA/Rego, decision engines, or similar)
 * Message queues and event-driven architectures (RabbitMQ, SQS, Kafka)
 * Frontend chops (React); not the focus, but handy for closing the loop on a feature
 * Enterprise security, compliance, or governance experience (e.g. SOC 2, GDPR, etc.), * Engineers who write code every day and want to keep it that way
 * People who use AI tools seriously and keep hunting for the next edge
 * Self-starters who take a problem, find the approach, and deliver without being told how
 * People drawn to the applied science of AI who want to make enterprise AI work for real

## Description

* Backend services: APIs, data pipelines, integrations, and core business logic
 * Policy enforcement: deterministic evaluation engines, rules processing, and classification
 * Agentic orchestration: multi-step AI plans using LLM's, executed as deterministic workflows with policy checkpoints built in
 * Model gateway: routing and translation across LLM providers, token management, and request handling
 * Data layer: PostgreSQL schema design, query optimization, and data modeling
 * Production ownership: you monitor, debug, and fix what you ship


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